4th International Conference on Spoken Language Processing
Philadelphia, PA, USA
In this paper we propose a system which combines the use of predictive neural networks and the statistical approach in the task of text-independent speaker verification through the telephone line. The system is composed by a predictive neural network for every reference speaker, which is trained with the backpropagation algorithm and the maximum likelihood criterion, in order to obtain the highest probability when the input to the network belongs to the reference speaker. We also consider a global network trained on the whole training set whose likelihood gives a measure of the predictability of a given input with the aim to eliminate the strong dependence of the score from the particular input considered. The evaluation of the system is carried out on a subset of the Italian telephonic database SIVA, purposely collected for the considered task.
Bibliographic reference. Paoloni, Andrea / Ragazzini, Susanna / Ravaioli, G. (1996): "Predictive neural networks in text independent speaker verification: an evaluation on the SIVA database", In ICSLP-1996, 2423-2426.